GCRI · Data and Compute
Innovation and practical technology
Technology relevant to data and compute and energy: what it can do, the constraints it faces and its consequences for people and institutions.
Innovation and practical technology on the record.
- 01FieldsData and compute, Energy
- 02STEM methods7 canonical methods applied
- 03Topics8 subject pages
- 04Counterparts0 platforms in shared fields
- 05PublisherThe Global Centre for Risk and Innovation
Evaluate before adopting.
- 01
Need
Which problem does the technology address, and for whom?
- 02
Evidence
What has been demonstrated, under what conditions, and what remains untested?
- 03
Constraints
Cost, skills, infrastructure, data and governance requirements.
- 04
Consequences
Effects on safety, rights, equity and the environment.
What could change data and compute practice, and what it still has to show.
| Technology | What it could change | What remains to be shown |
|---|---|---|
| Liquid and heat-reuse cooling | Lower energy and water use | Retrofit cost, local heat demand |
| Federated data analysis | Analysis without moving sensitive data | Performance and governance |
| Specialised accelerators | Efficiency gains for AI workloads | Supply concentration, lock-in |
| Workflow provenance tools | Reproducible pipelines | Adoption by research teams |
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